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Positions & Education

2020 - Researcher (CRCN), Thoth, INRIA, Grenoble
2017 - 2020 Researcher (CRCN), Sierra, INRIA, Paris
oct-dec 2016 Postdoc, Telecom Paris-Tech, Paris and Université Paul-Sabatier, Toulouse
2015 - 2016 Postdoc, Copenhagen University, Copenhagen.
2011 - 2015 PhD program, EDF R&D, Clamart and École Normale Supérieure, Paris.
Research interest in machine learning.
2008 - 2012 Élève Normalien, Department of mathematics, École Normale Supérieure, Paris.
2011 MSC in machine learning and computer vision, École Normale Supérieure, Cachan.
2009 BSC in mathematics, University of Paris-Diderot VII, Paris.
2006 - 2008 Classe préparatoire aux Grandes Écoles, Lycée du Parc, Lyon.
2006 Baccalauréat S (Scientific), Lycée Paul Cézanne, Aix-en-Provence

Experience

2012 Research internship with Shie Mannor, Technion University, Haifa, Israel.
2011 Research internship with Yannig Goude and Gilles Stoltz, EDF R&D, Clamart and ENS, Paris.
Forecasting of the electricity consumption by aggregation of specialized experts.
2010 Research internship with Devavrat Shah, MIT, Cambridge, USA.
Invert sparse matrices with gaussian belief propagation algorithm.
2009 BSC thesis with Sylvain Arlot, École Normale Supérieure, Paris.
The Lasso, or how to choose among a large set of variables with few observations.

Awards & distinctions

2021 Outstanding Paper Award (<1‰ of submitted papers), NeurIPS 2021.
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip.
2021 2 Spotlight (<3% of submitted papers), NeurIPS 2021.
Mixability made efficient: Fast online multiclass logistic regression.
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits.
2018 IJF Tao Hong Award, best paper in the International Journal of Forecasting for 2015–2016.
2016 AMIES PhD dissertation award, for French industrial PhD in mathematics.
2016 Paul Caseau PhD dissertation award, awarded by the French Academy of Technologies and EDF.
2014 Rank 1 in two international machine learning competitions: GEFCom2014 Probabilistic Electric Load Forecasting and Crowdanalytix Competition.

Grants & funding

2025 FunRL Chair — Fundamentals of Reinforcement Learning, MIAI Cluster IA, Université Grenoble Alpes.
2019–2020 Junior Chair, Prairie-PSAI Institute, Paris.

Computer skills

  • C, C++, Python, Ocaml
  • Matlab, R, Maple
  • HTML, SQL
  • LaTeX

Languages

  • French (native speaker)
  • English (written and spoken)